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by lcbcFoo • Uncategorized
An AI coding assistant memory system that provides persistent, context-rich long-term memory for LLMs using project documentation and git history.
Persistent, context-rich memory of a specific codebase across multiple sessions.
Recall detailed project history including git commit metadata and documentation insights.
Seamless integration with development environments via the Model Context Protocol.
Heimdall MCP Server enhances AI coding assistants by giving them a persistent, growing memory of your codebase, lessons, and development history. It indexes project documentation and git commit history, storing vectorized knowledge in a Qdrant database with metadata in SQLite. This allows LLMs to recall specific solutions and architectural patterns across sessions, improving coding assistance over time. The system integrates seamlessly with various IDEs and supports automated updates via file monitoring and git hooks.
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